How CanWe Evaluate Object Recognition Algorithms Using a Public Object Image Database? - Soochahn Lee; Duck Hoon Kim; Sang Uk Lee; Il Dong Yun (CVPR Workshops, 2005)

A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor. - Soochahn Lee; Sehyuk Yoon; Il Dong Yun; Duck Hoon Kim; Kyoung Mu Lee; Sang Uk Lee (ECCV (4), 2006)

3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative. - Hackjoon Shim; Soochahn Lee; Bohyeong Kim; Cheng Tao 002; Samuel Chang; Il Dong Yun; Sang Uk Lee; C. Kent Kwoh; Kyongtae Ty Bae (Image Processing, 2008)

Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). - Sang Hyun Park 004; Soochahn Lee; Hackjoon Shim; Il Dong Yun; Sang Uk Lee; Kyoung Ho Lee; Heung Sik Kang; Joon Koo Han (ICIP, 2009)

Robust bilayer video segmentation by adaptive propagation of global shape and local appearance. - Soochahn Lee; Il Dong Yun; Sang Uk Lee (J. Vis. Commun. Image Represent., 2010)

Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. - Soochahn Lee; Sang Hyun Park 004; Hackjoon Shim; Il Dong Yun; Sang Uk Lee (Comput. Vis. Image Underst., 2011)

Automatic bone segmentation in knee MR images using a coarse-to-fine strategy. - Sang Hyun Park 004; Soochahn Lee; Il Dong Yun; Sang Uk Lee (Image Processing, 2012)

Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation. - Sang Hyun Park 004; Soochahn Lee; Il Dong Yun; Sang Uk Lee (Pattern Recognit., 2013)

Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun (Computer-Aided Diagnosis, 2014)

Random tree walk toward instantaneous 3D human pose estimation. - Ho Yub Jung; Soochahn Lee; Yong Seok Heo; Il Dong Yun (CVPR, 2015)

Structured patch model for a unified automatic and interactive segmentation framework. - Sang Hyun Park 004; Soochahn Lee; Il Dong Yun; Sang Uk Lee (Medical Image Anal., 2015)

Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization. - Seung Yeon Shin; Soochahn Lee; Kyoung Jin Noh; Il Dong Yun; Kyoung Mu Lee (MICCAI (3), 2016)

Consistent color and detail transfer from multiple source images for video and images. - Yong Seok Heo; Soochahn Lee; Ho Yub Jung (Vis. Comput., 2016)

Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field. - Taewoo Park; Seung Yeon Shin; Youngtaek Hong; Soochahn Lee; Hyuk-Jae Chang; Il Dong Yun (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Adaptive Combination of Local Motion, Appearance, and Shape for Video Segmentation. - Soochahn Lee; Se-Hoon Kim; Woo-Sung Shim (Visual Information Processing and Communication, 2017)

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun; Kyoung Mu Lee (CoRR, 2017)

Dual Exposure Fusion with Entropy-based Residual Filtering. - Yong Seok Heo; Soochahn Lee; Ho Yub Jung (KSII Trans. Internet Inf. Syst., 2017)

Nonrigid 2D registration of coronary artery angiograms with periodic displacement field. - Taewoo Park; Soochahn Lee; Il Dong Yun (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. - Sunghee Jung; Soochahn Lee; Byunghwan Jeon; Yeonggul Jang; Hyuk-Jae Chang (SASHIMI@MICCAI, 2018)

Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (CoRR, 2018)

Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (MICCAI (1), 2019)

Fingerprint Liveness Detection by a Template-Probe Convolutional Neural Network. - Ho Yub Jung; Yong Seok Heo; Soochahn Lee (IEEE Access, 2019)

Phase-Based Nonrigid Deformation for Digital Subtraction Angiography. - Soochahn Lee; Changho Jeon; Leonard Sunwoo; Dong Yul Oh; Kyong Joon Lee (IEEE Access, 2019)

Scale-space approximated convolutional neural networks for retinal vessel segmentation. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (Comput. Methods Programs Biomed., 2019)

Deep vessel segmentation by learning graphical connectivity. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun; Kyoung Mu Lee (Medical Image Anal., 2019)

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun; Sun Mi Kim; Kyoung Mu Lee (IEEE Trans. Medical Imaging, 2019)

Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (MICCAI (5), 2020)

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. - Sunghee Jung; Soochahn Lee; Byunghwan Jeon; Yeonggul Jang; Hyuk-Jae Chang (IEEE Access, 2020)

Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation. - Kyoung Jin Noh; Jooyoung Kim; Sang Jun Park; Soochahn Lee (IEEE Access, 2020)

Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval. - Euyoung Kim; Seung Yeon Shin; Soochahn Lee; Kyong Joon Lee; Kyoung Ho Lee; Kyoung Mu Lee (Comput. Vis. Image Underst., 2020)

Generative Residual Attention Network for Disease Detection. - Euyoung Kim; Soochahn Lee; Kyoung Mu Lee (CoRR, 2021)

An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations. - Yongseok Mun; Jooyoung Kim; Kyoung Jin Noh; Soochahn Lee; Seok Kim; Soyoung Yi; Kyu Hyung Park; Sooyoung Yoo; Dong-Jin Chang; Sang Jun Park (BMC Medical Informatics Decis. Mak., 2021)

Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification. - Sojung Go; Jooyoung Kim; Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (IEEE Access, 2022)

Abnormality Detection in Chest X-Ray via Residual-Saliency From Normal Generation. - Euyoung Kim; Soochahn Lee; Kyoung Mu Lee (IEEE Access, 2023)

Deep Learning for Counting People from UWB Channel Impulse Response Signals. - Gun Lee 002; Subin An; Byung-Jun Jang; Soochahn Lee (Sensors, 2023)

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models. - Sojung Go; Younghoon Ji; Sang Jun Park; Soochahn Lee (CVPR Workshops, 2024)

Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation. - Euyoung Kim; Soochahn Lee; Kyoung Mu Lee (IEEE Access, 2025)

CoAPT: Context Attribute words for Prompt Tuning. - Gun Lee 002; Subin An; Sungyong Baik; Soochahn Lee (Knowl. Based Syst., 2025)

Auto-regressive transformation for image alignment. - Kanggeon Lee; Soochahn Lee; Kyoung Mu Lee (CoRR, 2025)

UniTalk: Towards Universal Active Speaker Detection in Real World Scenarios. - Le Thien Phuc Nguyen; Zhuoran Yu; Khoa Quang Nhat Cao; Yuwei Guo 006; Tu Ho Manh Pham; Tuan Tai Nguyen; Toan Ngo Duc Vo; Lucas Poon; Soochahn Lee; Yong Jae Lee (CoRR, 2025)